Martineau, Christine; Li, Xuejing; Perreault, Thérèse; Fournier, Éric; Tremblay, Julien; Gonzales, Milagros; Yergeau, Étienne 
ORCID: https://orcid.org/0000-0002-7112-3425 et Quach, Caroline
(2018).
Serratia marcescens outbreak in a neonatal intensive care unit (NICU): new insights from next-generation sequencing applications
Journal of Clinical Microbiology
, vol. 56
, nº 9: e00235-18.
pp. 1-14.
DOI: 10.1128/JCM.00235-18.
Résumé
Serratia marcescens is an environmental bacterium commonly associated with outbreaks in neonatal intensive care units (NICU). Investigation of S. marcescens outbreaks requires efficient recovery and typing of clinical and environmental isolates. In this study, we described how the use of next-generation sequencing applications, such as bacterial whole-genome sequencing (WGS) and bacterial community profiling, could improve S. marcescens outbreak investigation. Phylogenomic links and potential antibiotic resistance genes and plasmids in S. marcescens isolates were investigated using WGS, while bacterial communities and relative abundances of Serratia in environmental samples were assessed using sequencing of bacterial phylogenetic marker genes (16S rRNA and gyrB genes). Typing results obtained using WGS for the ten S. marcescens isolates recovered during a NICU outbreak investigation were highly consistent with those from pulse-field gel electrophoresis (PFGE), the current gold standard typing method for this bacterium. WGS also allowed for the identification of genes associated with antibiotic resistance in all isolates, while no plasmid was detected. Sequencing of the 16S rRNA and gyrB genes both showed higher relative abundances of Serratia in environmental sampling sites that were in close contact with infected babies. Much lower relative abundances of Serratia were observed following disinfection of a room, indicating that the protocol used was efficient. Variations in the bacterial community composition and structure following room disinfection and between sampling sites were also identified through 16S rRNA gene sequencing. Globally, results from this study highlight the potential for next-generation sequencing tools to improve and facilitate outbreak investigation.
| Type de document: | Article |
|---|---|
| Mots-clés libres: | - |
| Centre: | Centre INRS-Institut Armand Frappier |
| Date de dépôt: | 04 mars 2019 18:27 |
| Dernière modification: | 14 févr. 2022 19:11 |
| URI: | https://espace.inrs.ca/id/eprint/7472 |
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